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Duke Medical Center

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines

Lawrence T. Goodnough, Alice Maniatis, Peter Earnshaw et al.

2010 · 536 Zit.

The role of machine learning in clinical research: transforming the future of evidence generation

E. Hope Weissler, Tristan Naumann, Tomas Andersson et al.

2021 · 270 Zit.

Human–machine partnership with artificial intelligence for chest radiograph diagnosis

Bhavik N. Patel, Louis Rosenberg, Gregg Willcox et al.

2019 · 245 Zit.

Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future

Chunhao Wang, Xiaofeng Zhu, Julian C. Hong et al.

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Potential Use of Artificial Intelligence in Infectious Disease: Take ChatGPT as an Example

Kunming Cheng, Zhiyong Li, Yongbin He et al.

2023 · 119 Zit.

Clinical implementation of AI technologies will require interpretable AI models

Xun Jia, Lei Ren, Jing Cai

2019 · 108 Zit.

Enhancing Patient Communication With Chat-GPT in Radiology: Evaluating the Efficacy and Readability of Answers to Common Imaging-Related Questions

Emile B. Gordon, Alexander J. Towbin, Peter Wingrove et al.

2023 · 91 Zit.

Artificial intelligence in neurology: opportunities, challenges, and policy implications

Sebastian Voigtlaender, Johannes Pawelczyk, Mario Geiger et al.

2024 · 75 Zit.

Integrating Al Algorithms into the Clinical Workflow

Krishna Juluru, Hao-Hsin Shih, Krishna Nand Keshava Murthy et al.

2021 · 67 Zit.

Digital Health—The Need to Assess Benefits, Risks, and Value

Eric Perakslis, Geoffrey S. Ginsburg

2020 · 61 Zit.

Exploring the Potential of GPT-4 in Biomedical Engineering: The Dawn of a New Era

Kunming Cheng, Qiang Guo, Yongbin He et al.

2023 · 59 Zit.

The potential impact of ChatGPT/GPT-4 on surgery: will it topple the profession of surgeons?

Kunming Cheng, Zaijie Sun, Yongbin He et al.

2023 · 58 Zit.

Will ChatGPT/GPT-4 be a Lighthouse to Guide Spinal Surgeons?

Yongbin He, Hai‐Feng Tang, Dongxue Wang et al.

2023 · 56 Zit.

Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield

Saeed Hassanpour, Curtis P. Langlotz, Timothy J. Amrhein et al.

2017 · 50 Zit.

Evaluating the Quality and Usability of Artificial Intelligence–Generated Responses to Common Patient Questions in Foot and Ankle Surgery

Albert T. Anastasio, Frederic Baker Mills, Mark P. Karavan et al.

2023 · 44 Zit.